Abstract
Cu2+-doped lithium zinc phosphate used as electrode material of lithium batteries was studied, and the target product was got successfully after baking the noncrystalline precursor of the compound at 700℃. The precursor was prepared with Cu2+-doped ammonium zinc phosphate, Li2CO3 and surfactant PEG-400 via solid state reaction at room temperature, in which the Cu2+-doped ammonium zinc phosphate was synthesized with ZnSO4•7H2O, (NH4)3PO4•3H2O as start materials and PEG-400 as surfactant via low heat solid state reaction. Signal-to-noise rate (SNR) calculated with XRD data of the products was used as a testing index, and uniform experimental design as well as data mining technology were applied in the test. The synthesis tests were done under the direction of data mining technology. The test results indicated that SNR of the products increased linearly with increase of Cu2+ doped. The product synthesized under the optimal technical condition was Cu2+- doped LiZnPO4 with size of 50 nm and SNR of 30.41 that inosculate with the optimization results of data mining. This paper shows that it is feasible to prepare Cu2+-doped LiZnPO4 via solid state reaction and to control the synthesis results with SNR of the products as a testing index.
Published Version
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